Knowledge discovery in unstructured, big data

Knowledge may be discovered from various sources of information. Knowledge Discovery in Database (KDD) is the process of discovering valuable knowledge from data collection. Data warehousing, traditional data processing and analysis of structured data through the Relationship Database Management Sys...

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Main Authors: Abu Muntalib, Shamsiah, Sidi, Fatimah, A. Jabar, Marzanah, Ishak, Iskandar
Format: Conference or Workshop Item
Language:English
Published: 2014
Online Access:http://psasir.upm.edu.my/id/eprint/39244/
http://psasir.upm.edu.my/id/eprint/39244/1/39244.pdf
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author Abu Muntalib, Shamsiah
Sidi, Fatimah
A. Jabar, Marzanah
Ishak, Iskandar
author_facet Abu Muntalib, Shamsiah
Sidi, Fatimah
A. Jabar, Marzanah
Ishak, Iskandar
author_sort Abu Muntalib, Shamsiah
building UPM Institutional Repository
collection Online Access
description Knowledge may be discovered from various sources of information. Knowledge Discovery in Database (KDD) is the process of discovering valuable knowledge from data collection. Data warehousing, traditional data processing and analysis of structured data through the Relationship Database Management System (RDBMS) is access to a standard IT technology. However, RDBMS cannot satisfy the challenges of Big Data. The current biggest challenge is a matter of turning Big Data into Knowledge Discovery insight that enable organizations to facilitate effective decision making. The purpose of this paper is to explore techniques in knowledge discovery and the challenges in Big Data real-time setting. A technique of knowledge discovery in real-time insight will be proposed in order to extract valuable knowledge.
first_indexed 2025-11-15T09:44:53Z
format Conference or Workshop Item
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institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T09:44:53Z
publishDate 2014
recordtype eprints
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spelling upm-392442018-10-23T01:48:42Z http://psasir.upm.edu.my/id/eprint/39244/ Knowledge discovery in unstructured, big data Abu Muntalib, Shamsiah Sidi, Fatimah A. Jabar, Marzanah Ishak, Iskandar Knowledge may be discovered from various sources of information. Knowledge Discovery in Database (KDD) is the process of discovering valuable knowledge from data collection. Data warehousing, traditional data processing and analysis of structured data through the Relationship Database Management System (RDBMS) is access to a standard IT technology. However, RDBMS cannot satisfy the challenges of Big Data. The current biggest challenge is a matter of turning Big Data into Knowledge Discovery insight that enable organizations to facilitate effective decision making. The purpose of this paper is to explore techniques in knowledge discovery and the challenges in Big Data real-time setting. A technique of knowledge discovery in real-time insight will be proposed in order to extract valuable knowledge. 2014 Conference or Workshop Item NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/39244/1/39244.pdf Abu Muntalib, Shamsiah and Sidi, Fatimah and A. Jabar, Marzanah and Ishak, Iskandar (2014) Knowledge discovery in unstructured, big data. In: Malaysian National Conference of Databases 2014 (MaNCoD 2014), 17 Sept. 2014, Universiti Putra Malaysia, Serdang, Selangor. (pp. 50-54). http://mancod2014.blogspot.my/p/proceedings.html
spellingShingle Abu Muntalib, Shamsiah
Sidi, Fatimah
A. Jabar, Marzanah
Ishak, Iskandar
Knowledge discovery in unstructured, big data
title Knowledge discovery in unstructured, big data
title_full Knowledge discovery in unstructured, big data
title_fullStr Knowledge discovery in unstructured, big data
title_full_unstemmed Knowledge discovery in unstructured, big data
title_short Knowledge discovery in unstructured, big data
title_sort knowledge discovery in unstructured, big data
url http://psasir.upm.edu.my/id/eprint/39244/
http://psasir.upm.edu.my/id/eprint/39244/
http://psasir.upm.edu.my/id/eprint/39244/1/39244.pdf